• Mingming Zhang, Hongbo Mu, Zhenwei Shang, Kai Kang, Hongchao Lv, Lian Duan, Jin Li, Xinren Chen, Yanbo Teng, Yongshuai Jiang, and Ruijie Zhang.
• College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
• Neuroscience. 2017 Jan 6; 340: 398-410.

AbstractParkinson's disease (PD) is the second most common neurodegenerative disease. It is generally believed that it is influenced by both genetic and environmental factors, but the precise pathogenesis of PD is unknown to date. In this study, we performed a pathway analysis based on genome-wide association study (GWAS) to detect risk pathways of PD in three GWAS datasets. We first mapped all SNP markers to autosomal genes in each GWAS dataset. Then, we evaluated gene risk values using the minimum P-value of the tagSNPs. We took a pathway as a unit to identify the risk pathways based on the cumulative risks of the genes in the pathway. Finally, we combine the analysis results of the three datasets to detect the high risk pathways associated with PD. We found there were five same pathways in the three datasets. Besides, we also found there were five pathways which were shared in two datasets. Most of these pathways are associated with nervoussystem. Five pathways had been reported to be PD-related pathways in the previous literature. Our findings also implied that there was a close association between immune response and PD. Continued investigation of these pathways will further help us explain the pathogenesis of PD.Copyright © 2016. Published by Elsevier Ltd.

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